title: An arc-length warping algorithm for gesture recognition using quaternion representation.
abstract: This paper presents a new algorithm, called Dynamic Arc-Length Warping algorithm (DALW) for hand gesture recognition based on the orientation data. In this algorithm, after calculating the quaternion for each orientation measurement, we use DALW algorithm to obtain a similarity measure between different trajectories. We present the benefits of using quaternion alongside the implementation of Dynamic Arc Length Warping to present an optimized tool for gesture recognition.We show the advantages of this approach compared with other techniques. This tool can be used to distinguish similar and different gestures. An experimental validation is carried out to classify a series of simple human gestures.
authors.forename: Jenny
authors.initials: J
authors.lastname: Cifuentes
authors.forename: Minh Tu
authors.initials: MT
authors.lastname: Pham
authors.forename: Richard
authors.initials: R
authors.lastname: Moreau
authors.forename: Flavio
authors.initials: F
authors.lastname: Prieto
authors.forename: Pierre
authors.initials: P
authors.lastname: Boulanger
mesh_terms: D000465:Algorithms; D005868:Gestures; D006801:Humans; D010363:Pattern Recognition, Automated; D014953:Wrist / Q000502:physiology